code: def _get_train_test_cd_path(dataset):
      train_path = data_file(dataset, "train_small")
      test_path = data_file(dataset, "test_small")
      cd_path = data_file(dataset, "train.cd")
      return (train_path, test_path, cd_path)
  
file_path: catboost/catboost/libs/model/model_export/ut/test.py
imports: import numpy
  import os
  import pytest
  import re
  import yatest
  from catboost import Pool, CatBoost, CatBoostClassifier
  from catboost_pytest_lib import data_file, load_pool_features_as_df
label_desc: Use image node_id 1 for calling a global function with example usage: _get_train_test_cd_path(dataset) and returns: train_path,  test_path,  cd_path